Hello,
This is a great package!
However, I need some help, I have a Convolutional 1D Autoencoder for Anomaly Detection, where my forward method takes in two inputs separately for continuous and binary features. Is there anyway to generate counterfactuals for such a model, since right now, it says my forward method requires two inputs.
Hello,
This is a great package!
However, I need some help, I have a Convolutional 1D Autoencoder for Anomaly Detection, where my forward method takes in two inputs separately for continuous and binary features. Is there anyway to generate counterfactuals for such a model, since right now, it says my forward method requires two inputs.